Deeligence is an AI-powered due diligence platform designed to support investment professionals, analysts, and venture capitalists in conducting faster and more comprehensive evaluations of startups and private companies. The platform combines advanced artificial intelligence with structured financial and business data to automate much of the traditional manual diligence process.
Deeligence addresses the inefficiencies in deal sourcing, startup evaluation, and risk analysis by providing real-time insights, data aggregation, and intelligent scoring models. It transforms fragmented and time-consuming workflows into structured, data-driven decision-making processes. Whether you’re an angel investor evaluating your next deal or an investment firm managing a high-volume pipeline, Deeligence is built to save time and uncover critical insights.
Its core mission is to make high-quality due diligence accessible, scalable, and consistent across the investment lifecycle.
Features
Deeligence offers a wide range of features that streamline and enhance the diligence and investment research process:
AI-Driven Due Diligence
Automates startup evaluations by analyzing key business, financial, and operational metrics using proprietary AI models.
Startup Scoring Engine
Provides a comprehensive score based on key categories such as market potential, business model, team quality, traction, and risk.
Automated Deal Insights
Generates detailed summaries and red flags by reviewing thousands of data points across public and private datasets.
One-Click Reports
Delivers investor-ready reports summarizing the key findings, startup strengths, potential risks, and industry benchmarks.
Data Enrichment
Integrates internal CRM data with external sources like Crunchbase, LinkedIn, and financial APIs to build complete startup profiles.
Collaborative Workflow Tools
Allows investment teams to annotate, share, and comment on deal profiles within a centralized platform.
Custom Criteria Filters
Enables investors to define specific filters and ranking logic to screen startups that meet their investment thesis.
Real-Time Updates
Tracks startup data continuously, so teams can stay informed about changes in team composition, funding rounds, and press mentions.
How It Works
Deeligence simplifies the due diligence process into a seamless, AI-enhanced workflow. Investors begin by uploading deal information or integrating their existing deal pipeline. The platform then gathers additional data from public and proprietary sources, including social media profiles, company websites, funding databases, and industry benchmarks.
The AI model processes the startup’s data across several key dimensions such as team, traction, product maturity, and market size. It identifies patterns, flags potential concerns, and highlights strengths that align with the investor’s criteria.
The result is an investment score and detailed analysis available in minutes instead of days. Users can generate a shareable report with a single click, allowing for faster internal discussions and decision-making.
Deeligence also integrates with existing investment CRMs and tools, helping firms maintain workflow consistency while gaining the benefits of intelligent automation.
Use Cases
Deeligence can be applied in multiple scenarios where fast, accurate startup evaluations are essential:
Early-Stage Venture Capital
Speed up deal flow assessments and focus attention on startups that match your firm’s investment thesis.
Angel Investment Groups
Quickly assess founder backgrounds, product traction, and business models before committing to due diligence.
Corporate Venture Arms
Evaluate potential strategic investments in startups with automated analysis and risk summaries.
Private Equity Firms
Assess technology-enabled small and mid-sized businesses more efficiently during preliminary diligence.
Accelerators and Incubators
Filter large volumes of startup applications using AI-generated scoring and insights.
Startup Scouting
Track emerging startups in a specific sector or geography, enriched with real-time updates and alerts.
Family Offices
Support lean teams in making informed decisions across a diverse pipeline of early-stage opportunities.
Pricing
As of now, Deeligence does not publicly list its pricing on its official website. The platform is geared toward investors, firms, and institutions with varying due diligence needs, and pricing is likely based on:
Number of users or team members
Volume of deal evaluations
Level of data integration and customization
Access to premium data sources and APIs
Interested users are encouraged to request a demo through the official website to receive a tailored pricing plan based on their specific requirements.
Visit deeligence.com to request a demo or speak with the sales team.
Strengths
Deeligence offers several strong advantages for investment professionals and firms:
Time Efficiency
Reduces due diligence from days to minutes by automating data collection and analysis.
Comprehensive Startup Insights
Combines external and internal data for a holistic view of each deal.
Custom Scoring and Filters
Enables firms to define their own investment criteria and automatically rank deals accordingly.
Collaboration-Ready
Built for teams with tools that support shared notes, report sharing, and deal collaboration.
Integrations with Data Sources
Connects with external platforms like Crunchbase, LinkedIn, and AngelList for enriched profiles.
Automated Reports
Delivers clean, ready-to-share reports that accelerate investment committee discussions.
Real-Time Monitoring
Keeps deal data updated so teams never miss key developments or red flags.
Drawbacks
While Deeligence is highly capable, a few limitations should be considered:
No Public Pricing
The absence of transparent pricing may be a barrier for smaller investor groups or solo angels.
Early-Stage Focus
The tool is most effective for early-stage and venture-backed startups; it may have limited application in mature company diligence.
Data Limitations
Its accuracy depends on the availability and freshness of public data, which can vary by region or industry.
Learning Curve
While user-friendly, investment teams may need time to adapt workflows and trust AI-generated scores.
Requires Internet Connectivity
As a cloud-based platform, Deeligence requires an internet connection and data source access for real-time insights.
Comparison with Other Tools
Deeligence competes with traditional and AI-based diligence tools like Affinity, Zigg Capital’s internal tooling, and PitchBook.
Deeligence vs Affinity
Affinity focuses on relationship intelligence and CRM for investors. Deeligence, on the other hand, is optimized for automating due diligence and scoring startups, offering more analytical depth during the evaluation stage.
Deeligence vs PitchBook
PitchBook is a comprehensive database for financial data and private markets. Deeligence complements this by offering AI-driven insights, automated reports, and customizable scoring mechanisms for deal analysis.
Deeligence vs Manual Diligence
Traditional diligence processes are manual, time-consuming, and error-prone. Deeligence automates much of this workflow, ensuring speed, consistency, and scalability across large deal pipelines.
Deeligence stands out for its balance between automation, customization, and data enrichment tailored for investors evaluating early-stage opportunities.
Customer Reviews and Testimonials
As of the latest update, Deeligence does not publicly list customer testimonials on its website. However, the platform is gaining traction with VC firms, angel groups, and startup accelerators for its efficiency and AI-powered insights.
Feedback from early users and partners, shared via startup communities and venture networks, includes comments such as:
“Cuts our time to evaluate a deal by 80%.”
“Makes it easier to align the team around which startups to prioritize.”
“Helps us bring consistency to an otherwise subjective evaluation process.”
For verified use cases and customer success stories, interested investors are encouraged to request a live demo from the Deeligence team.
Conclusion
Deeligence is redefining how investors and analysts approach startup due diligence. By automating data collection, analysis, and scoring, it empowers firms to evaluate deals more quickly and consistently. Whether managing a large volume of inbound startups or fine-tuning your screening process, Deeligence delivers scalable, AI-driven insights that drive smarter investment decisions.
Its no-code interface, AI capabilities, and integrations make it suitable for a wide range of investment organizations—from venture capital firms to corporate investors. While pricing transparency and data availability are areas for improvement, Deeligence’s core value proposition is clear: transforming due diligence from a bottleneck into a strategic advantage.
For any investor aiming to improve efficiency and scale insight generation, Deeligence is a tool worth exploring.
